IDSS
IDSS

IDSS

Administration Artificial Intelligence Civil and environmental engineering Computer science and technology Data Electrical Engineering & Computer Science (eecs) Faculty IDSS Leadership machine learning MIT Schwarzman College of Computing School of Engineering Statistics

Celebrating the impact of IDSS

A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.

Algorithms Artificial Intelligence Computer modeling Computer science and technology Data Electrical Engineering & Computer Science (eecs) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Ocean science Oceanography and ocean engineering Research School of Engineering

A better way to study ocean currents

A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) IDSS Internet Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Networks Research School of Engineering

Researchers create a tool for accurately simulating complex systems

The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.

Artificial Intelligence Broad Institute Computer science and technology Data Electrical Engineering & Computer Science (eecs) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

A method for designing neural networks optimally suited for certain tasks

With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.